Tongran Liu

Computer Vision and Pattern Recognition · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tongran Liu trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jianhua Lin (in Information Theory)
  2. Jeff Johnson (in Computer Vision and Pattern Recognition)
  3. Miguel Ballesteros (in Natural Language Processing)
  4. Jerry Quinn (in Natural Language Processing)
  5. Michael Auli (in Artificial Intelligence)
  6. Noah A. Smith (in Natural Language Processing)

Papers from Tongran Liu's perspective

Ordered by how strongly the researchers Tongran Liu trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
  4. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
  5. Rethinking the Inception Architecture for Computer Vision
  6. ImageNet classification with deep convolutional neural networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  10. Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Their papers